[R] Any R function for self-controlled case series method /effect

[Jari Haukka]

Dear Vito,

I found found package "gnm" with function "gnm". The "eliminate" 
argument does exactly what I needed. Conditional Poisson models are 
handy to fit by gnm.


Regards, Jari



vito muggeo wrote:
> Dear Jari
> The problem is to build the dataset to apply the conditional logit 
> model. However, as far as I know, no R function exists.
>
> BTW if you are dealing with time series of pollution and health, the 
> following two papers might be of interest of you:
> It appears that the time series approach could be preferred.
>
>
> Heather J. Whitaker, Mounia N. Hocine, C. Paddy Farrington
> On case-crossover methods for environmental time series data
> Environmetrics
> Volume 18, Issue 2, Date: March 2007, Pages: 157-171
>
> Lu, Zeger. On the equivalence of case-crossover and time series 
> methods in environmental epidemiology Biostatistics, Early view
>
>
> Jari Haukka wrote:
>> Hello,
>>
>> Has anyone written R functions for applying self-controlled case 
>> series methods (http://statistics.open.ac.uk/sccs/).
>>
>> In fact only thing needed is to modify glm function to allow 
>> absorption of effect. Eg. in Poisson model individual effect is used 
>> as factor, but it is considered as nuisance term where parameter 
>> estimates are not needed.
>>
>> Could anyone point how absorbing individual effect could be carried 
>> out in glm.
>>
>> There is already code for  Stata 
>> (http://statistics.open.ac.uk/sccs/stata/aglm.ado), Genstat 
>> (http://statistics.open.ac.uk/sccs/genstat%5Csccs.gen), Glim 
>> (http://statistics.open.ac.uk/sccs/glim/SCCS.MAC) , and SAS 
>> (http://statistics.open.ac.uk/sccs/sas/macro/poisreg.sas).
>>
>>
>> Regards,
>> Jari Haukka
>>
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>> and provide commented, minimal, self-contained, reproducible code.
>>
>>
>